An "End-to-End Machine Learning" project focuses on building a machine learning pipeline that prevents data leakage and deploys the model with microservice-architecture for real-world use.

Learning with spiking neural networks using STDP synapses. Python, PyNN, NEST-simulator, numpy

Automated download of the most recent Fnet data and the IRIS data

SOM - Self-organizing map

A Simple k-nearest neighbors implementation in C++

Cluster analysis - using different approaches

The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.

to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum

Iris data set analysis for Udacity.

Iris flower classification using KNN and Random forest algorithm

Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)

Veronica is a 😎 ML Based Web-App.

computer program that trains a series of perceptrons, based on PLA, to classify iris data

🌸 Compare multiple classification models on the Iris dataset to evaluate accuracy, precision, recall, and F1-score with clear visualizations.